Ph.D. Coursework
1 | Research Methodology | 60 hrs | 4 Credits | |
Module 1 | Philosophy of Research | |||
Module 2 | Introduction to Research Methodology | |||
Module 3 | Data Collection and Analysis | |||
Module 4 | Databases | |||
Module 5 | Statistics for Research | |||
Module 6 | Open Access Softwares | |||
Module 7 | Library Softwares | |||
Module 8 | Quantitative Research Methods | |||
Module 9 | Qualitative Research Methodology | |||
Module 10 | Experimental Design and Methods | |||
Module 11 | Report Writing |
2 | P3R Course | 4 weeks | 4 Credits | |
Module 1 | Introduction to Research Writing | |||
1.3: Style and word usage | ||||
1.4: Quantitative and numerical expression | ||||
Module 2 | English for Research Writing | |||
2.1: Essentials of grammar | ||||
2.2: Common grammar mistakes | ||||
2.3: Punctuation Part 1 | ||||
2.4: Punctuation Part 2 | ||||
Module 3 | Preparing to Write | |||
3.1: Literature search and review | ||||
3.2: Prepare and plan to write | ||||
3.3: The IMRAD structure | ||||
3.4: Avoiding plagiarism | ||||
3.5: Ethical issues | ||||
Module 4 | Non Textual and Visual Information | |||
4.1: Use of visuals to present information | ||||
4.2: Tables | ||||
4.3: Graphs and charts | ||||
4.4: Illustrations | ||||
4.5: Visual aids | ||||
Module 5 | Types of Research Writing | |||
5.2: Oral presentations | ||||
5.5: Journal articles/papers | ||||
5.6: Research reports | ||||
5.7: Basics of thesis writing | ||||
5.8: Grant proposals | ||||
Module 6 | Content-Retrieval, Revisions & Reviews | |||
6.1: Citations and references | ||||
6.2: Checks and revisions | ||||
6.3: Peer reviews | ||||
Module 7 | Advanced Research Communication | |||
7.1: Writing for a global audience |
3 | Computer Application in Economic Analysis (CAEA2017-18) | 1 Semester | 4 Credits |
Course Structure: The content of the course will be presented by means of practical hand-on sessions. The sessions will
demonstrate the concepts and methods of statistics with practical examples of different dimensions. The course will cover wide data sets Solution of some of the problem set will be discussed in the classes.
This course should be of value to those intending to study any course involving economic modeling and econometrics. Outcome: By the end of the module you should be competent in applying the mathematical and statistical tools used in econometrics and should be able to:
- handle real data with confidence
- apply econometric methods of analysis to new circumstances
- understand the conditions under which particular estimators are appropriate
- apply the theoretical methods to numerical data
- write and present technical material lucidly
- understand the basic theory of the ordinary least squares, generalized least squares and panel data models
- apply appropriate estimators to the type of numerical data given in seminar exercises and computing classes
- interpret empirical results in applied economics literature
Texts: As stand-alone resources will be provided, there will be no need to rely on particular texts. However, there are several good texts are now available which can be used as supplementary materials, including:
- J M Wooldridge, 2009.Introductory Econometrics – A Modern Approach (4th ed), South-Western, 2009 (International Student Edition)
- Christopher F Baum, An Introduction to Modern Econometrics using Stata, Stata Press books, StataCorp LP, number imeus, September
Module No. | Content |
Module1: |
Section 1: Model Specification: Data classification, role of data in modeling, exploratory data analysis (EDA) vs. formal statistical inference (FIS), different dimensions of data – social, time, spatial etc.
Section 2: Modeling average: working with real world dataset (usefulness and shortcomings of modeling mean, relative efficiency of mean and median, confidence interval and its interpretation, etc.) |
Module 2: |
Outlier detection, shape of the distribution and data transformation:
Section1: Least square principle and concept of resistance, mean-based vs. ordered-based statistics, etc. Section 2: Outlier detection, validity of normality assumption, data transformation using cross- sectional data. |
Module 3: |
Linear regression and least squares principle:
Section 1: Basic principles and discussion on theoretical background Section 2: Regression with graphics – checking the model assumption, exploratory band regression, checking of high leverage & influential points, transformation of data towards linearity, double-log transformation vs. semi-log transformation, etc. |
Module 4: |
Interpretation of multiple regression coefficients
Section 1: Hierarchical sequence of simple regression, introduction of added variable plot, etc. Section 2: Working with different macroeconomic data set, money illusion in the demand function, partial vs. multiple regressions, decomposing the sum of squares across regression, coefficient of determination, partial regression vs. partial coefficients, checking the assumptions of regression model, etc. |
Module 5: |
Model selection/misspecification in multiple regression
Section1: Omitted variable bias, testing zero restrictions/non zero linear restrictions, etc. Section2: Parameter stability using macroeconomic database, use of dummy variables, etc. |
Module 6: |
Heteroscedasticity:
Section 1: Detecting heteroscedasticity, different test statistics, and transformation towards homoscedasticity. Section 2: Detecting heteroscedasticity by graphical method using survey data, finding appropriate transformation, working with group data, etc. |
Module 7: |
Regression on categorical variable:
Handling different data sets where dependent variable is categorical, preparation, distributional and contingency tables test of association, Logit and Probit modeling, comparing logit with linear probability model. |
Module 8: |
Time series analysis vs. spatial analysis
Section 1: Stationarity and Non-Stationarity of data, different types of ordering of data, structural autocorrelation vs. temporal autocorrelation, Trend analysis, etc. Section 2: Trend analysis with stationary autoregressive component, use of spreadsheet for constructing autoregressive model. Transformation to stationarity: stabilizing variance, stabilizing mean, Detecting autocorrelation, ‘genuine’ autocorrelation vs. ‘nuisance’ autocorrelation, etc. Time – space, social autocorrelation and different measurement techniques. |
Module 9: |
Panel data analysis
Section 1: Panel data, complicacy of panel data analysis, short vs. long panel, balanced vs. unbalanced panel, clustering of residual, types of regressor, model endogeneity, fixed vs. random effects models. Section 2: Organization of real world dataset for panel analysis, panel identifier, time identifier, regression analysis, interpretation of result, report writing. |
At this stage, students will be asked for assessment tests which include submission of the assignments and formal examination.
Grades for the course will be computed based on the following allocation: 1. Final exam (80%) [short objective types + practical exercises + result interpretation and report writing on the basis of given dataset] 2. Assignments (three) (20%) |
4Compulsory Courses1 Semester4 CreditsA-05Basic EconometricsModule 1The nature of Econometrics and Economic DataModule 2The Classical Linear Regression Model: Estimation and InferenceModule 3Non-linear regressionModule 4Regression Analysis with Qualitative information: Binary(or Dummy)VariablesModule 5MulticollinearityModule 6Violation of the OLS AssumptionsModule 7Specifications: Choosing the Independent Variables and Functional FormModule 8Lagged Variables and Distributed-LagModelsModule 9Simultaneous Equation Models (SEM)A-06Advanced EconometricsModule 1Seemingly Unrelated Regression (SURE)Module 2Time Series
2.1 Introduction to Time Series Analysis
2.2 Stationary Time-Series Model
2.3 Models with Trend
2.4 Multiequation Time-Series Models
2.5 Cointegration and Error-correction Models
2.6 Modeling VolatilityModule 3Panel Data
3.1 Introduction Panel Data
3.2 The One-way Error Component Regression Model
3.3 The Two-way Error Component Regression Model
3.4 Test of Hypotheses with Panel Data
3.5 Introduction to Dynamic Panel Data Models
5 | Elective Courses | 1 Semester | 4 Credits |
A-01 | Microeconomics-I | ||
Module 1 | Consumer Theory | ||
Module 2 | Theoryof Firm | ||
Module 3 | Theory of MarketI: PerfectCompetition,Monopoly, and Monopolistic Competition | ||
Module 4 | Game theory (basic introduction) | ||
Module 5 | Theory of Market II: Oligopoly | ||
A-02 | Microeconomics-II | ||
Module 1 | Theory of General Equilibriums | ||
Module 2 | EconomicsofUncertainty | ||
Module 3 | Games of Incomplet eInformation | ||
Module 4 | InformationEconomics | ||
A-03 | Macroeconomics | ||
Module 1 | BackgroundConcepts: | ||
Module 2 | Rational Expectations and new Classical Macroeconomics: | ||
Module 3 | RealBusiness CycleSchool | ||
Module 4 | MicroFoundationsof realand nominalrigidities:New KeynesianSchool | ||
Module 5 | Basic Infinite Horizon Models |
A-04 | Monetary Macroeconomics |
Module 1 | Definition of Money |
Module 2 | Supplyof Money and MoneyTransmission Mechanics |
Module 3 | Demand for Money |
Module 4 | Mone yin Walrasianandnon-Walrasian Economies and Theories of Disequilibrium Dynamics |
Module 5 | TheoriesoftheInterestRate |
Module 6 | Monetary Institutions & Monetary Policy |
A-05 | Basic Econometrics |
Module 1 | The nature of Econometrics and Economic Data |
Module 2 | The Classical Linear Regression Model: Estimation and Inference |
Module 3 | Non-linear regression |
Module 4 | Regression Analysis with Qualitative information: Binary(orDummy)Variables |
Module 5 | Multicollinearity |
Module 6 | Violation of the OLS Assumptions |
Module 7 | Specifications: Choosing the Independent Variables and Functional Form |
Module 8 | Lagged Variables and Distributed-LagModels |
Module 9 | Simultaneous Equation Models (SEM) |
A-06 | Advanced Econometrics |
Module 1 | Seemingly Unrelated Regression (SURE) |
Module 2 | Time Series |
2.1 Introduction to Time Series Analysis | |
2.2 Stationary Time-SeriesModel | |
2.3 ModelswithTrend | |
2.4 Multiequation Time-Series Models | |
2.5 Cointegration and Error-correction Models | |
2.6 ModelingVolatility | |
Module 3 | Panel Data |
3.1 Introduction Panel Data | |
3.2 The One-way Error Component Regression Model | |
3.3 TheTwo-way Error Component Regression Model | |
3.4 Test of Hypotheses with Panel Data | |
3.5 Introduction to Dynamic Panel Data Models | |
A-07 | Economic Growth and Development |
Module 1 | Growth |
Module 2 | Development,ScopeofDevelopmentEconomics |
Module 3 | Majorthemes/perspectivesofpost-war‘highdevelopmenttheory’(late1940sto1970s) |
Module 4 | Economics of Institutions |
Module 5 | Capital, Inequality and Growth |
A-08 | Public Economics |
Module 1 | Economic Rationale of the Modern State and Macro Economic Perspective of Public Finance |
Module2 | EconomicAnalysisofPublicGoods |
Module 3 | Economic decision making in government |
Module 4 | Theory of Taxation |
Module 5 | Tax Policy Issues in India |
Module 6 | Public Expenditure Theory |
Module 7 | Fiscal Federalism |
Module 8 | Fiscal Federalism in India |
Module 9 | Fiscal Imbalance and Management of Public Debt |
A-10 | International Economics: Pure Theory |
Module 1 | Inter-regional versus international trade |
Module2 | Comparative advantage in Heckscher Ohlin Model |
Module 3 | Recent explanations of the basis of trade interm softechnological lead,domesticmarketsizeandproductcycle approach |
Module 4 | The rationale of tariffs,quotas and subsidies |
Module 5 | Effects of quotas and other quantitative restrictions |
Module 6 | Theory of customs union |
Module 7 | Trade and growth |
Module 8 | Formation of regional trade blocs |
Module 9 | GATT and its objectives |
A-11 | International Economics :Money and Finance |
Modu1e 1 | Nature and concept of Balance of Payment (BOP) |
Module 2 | The market for foreign exchange |
Module 3 | Foreign trade and national income |
Module 4 | International economic policy and BOP adjust mentmechanism |
Module 5 | Recent theories of exchange rate determination |
Module 6 | EssentialsofInternational |
Module 7 | Longtermandshortterminternationalcapitalmovements |
A-12 | National Income Analysis |
Modue 1 | Concept of National Product |
Module 2 | Treatment of Government Sector |
Module 3 | Methods of income estimation |
Module 4 | Accounts for the producing sector |
Module 5 | Inter-temporal comparisons of National Income |
Module 6 | Concept of National Income in socialist countries |
Module 7 | National Income and Regional Income |
Module 8 | Related tables of accounts–input-output |
Module 9 | Physical Quality of Life Index and Human Development Index |
A-13 | Mathematics for Economic Analysis |
Module 1 | Linear Algebra |
Module 2 | Real Analysis |
Module 3 | Static Optimization and Comparative Statics |
Module 4 | Dynamic Optimization |
A-14 | Population Studies |
Module1 | Introduction and Sources of Data |
Module2 | PopulationSize, Growthand Characteristics |
Module3 | Fertility and Nuptiality |
Module4 | Mortality |
Module 5 | Migration |
Module 6 | Population Projection |
Module7 | Population and Development |
Module8 | Population Policy in India |
A-15 | Accountancy and Financial Statement Analysis |
Module1 | BasicPrinciples |
Module2 | TheAccountingProcess |
Module3 | PreparationofFinalAccounts/Statement |
Module4 | StatementofChangesinFunds |
Module 5 | Depreciation&InventoryValuation |
Module 6 | AnalysisofCompanies’AnnualReports |
A-16 | Financial Economics |
Module1 | Thedemandforsecurities |
Module2 | Thesupplyofsecurities |
Module3 | Securitiesmarketsandtheirefficiency |
Module4 | Thedeterminationofequityprices |
Module 5 | Securityanalysisandmarketefficiency |
Module 6 | Derivatives |
Module7 | Futuresprices |
Module8 | Optionsandoptionpricing |
Module 9 | Swaps,CurrencyandInterestRateSwaps |
Module 10 | Regulationoffinancialmarkets |
A-17 | Statistics |
Module1 | Descriptive Statistics |
Module2 | Test of Significance |
Module3 | Random Variables |
Module4 | Introduction to probability |
Module 5 | Sampling methods |
Module 6 | Testing of Hypothesis |
Module7 | Special Distributions |
Module8 | Estimation and Inference |
Module 9 | Bivariate Distributions |
Module 10 | Multivariate Analysis |
Module 11 | Nonparametric Statistics |
B-01 | Indian Agricultural Economics |
Module1 | Growth of agricultural production and income in Indiaduring pre and post-independence period |
Module2 | Irrigation and its development over the years |
Module3 | New technology(seeds, fertilizersandpesticides)including GMcrops inagriculture |
Module4 | Pattern sof cropping in different regions |
Module 5 | Farmcapitalstructureinagricultureanditschanges |
Module 6 | Employmentandunemploymentinagricultureanditsmeasurement |
Module7 | Organizationofagriculturaleconomy,landownershippattern |
Module8 | Institutional settings of Indian agriculture |
Module 9 | Credit in Indian agriculture |
Module 10 | Marketing |
Module 11 | Farmprices:regional andseasonal variations |
Module 12 | IncomedistributioninIndianagriculture |
Module 13 | Overviewof approachto agriculturaldevelopment,with referenceto internationalexperience |
B-02 | Transport Economics |
Module1 | DevelopmentObjectivesandtheRoleofTransportation |
Module2 | Theoretical Analysis of the Location of Economic Activities |
Module3 | Application of Economic Theory toTransportation |
Module4 | Theory and Application of Decision Making Principles and Evaluation of Large-scaleTransportProjects |
Module 5 | Transport and Energy |
Module 6 | Roleof Public Policy |
B-03 | Industry: Organization, Structure and Problems |
Module1 | Assessments of the changes in structure of industries |
Module2 | Constraints on growth–shortagesofrawmaterial,lackofdemand |
Module3 | Regional disparities |
Module4 | Growth of small scale and household sector |
Module 5 | Strategic interaction |
Module 6 | Market structure &models of market entry |
Module7 | Empirical analysis of price discrimination and non-linear pricing |
Module8 | Mergers and Antitrust |
Module 9 | Research and development and adoption of new technologies |
Module 10 | Advertising |
Module 11 | Regulations |
B-04 | Linear Economics |
Module1 | Critique of Marginal Productivity Theory |
Module2 | Matrix Algebra |
Module3 | Input-Output Analysis |
Module4 | The Sraffa Systems |
Module 5 | Closure for the Sraffa System |
Module 6 | Multi-country Multi-commodity Trade Theory |
B-05 | Economics of Labour |
Module1 | Supply |
Module2 | Demand |
Module3 | Equilibrium |
Module4 | Wage Structure |
Module 5 | The Distribution of Income |
Module 6 | Cyclical Fluctuations |
Module7 | Discrimination |
Module8 | Unemployment |
Module 9 | Macroeconomics of Labour Market |
Module 10 | Unions |
Module 11 | Labour Contracts |
Module 12 | Regulations and International Labour Standards |
B-06 | Financial Institutions and Markets |
Module1 | Financial System and Market Risk Management |
Module2 | Rate of interest–International transactions–Exchange rates |
Module3 | The Central Bank,Commercial Banks and Co-operative Banks |
Module4 | Specialized Financial Institutions |
Module 5 | Other Financial Institutions |
Module 6 | International Financial Institutions |
Module7 | Financial Markets and Market Regulations |
Module8 | International Markets |
B-07 | Law and Economics-I |
Module1 | Introduction to Law and Economics |
Module2 | Economic Analysis of Contract Law |
Module3 | Economic Analysis of Tort Law |
Module4 | Economic Analysis of Property Law |
Module 5 | The Coase Theorem |
Module 6 | Economic Analysis of Criminal Law |
Module7 | Economic Analysis of Competition Law |
Module8 | Competition Policy in India |
B-08 | Law and Economics-II |
Module1 | Economic Theory of Legislation |
Module2 | Economic Analysis of Litigation |
Module3 | Economic approach to Contract law in India |
Module4 | Economic Approach to Environmental Protection Laws |
Module 5 | Economic Approach to Issues in Land Acquisition Laws |
Module 6 | Town Planning Laws |
Module7 | Special Economic Zones |
Module8 | Intellectual Property Rights |
Module 9 | Economic Analysis ofCorporate Law Issues |
B-09 | Economic Sociology |
Module1 | Emergence of economic sociology and its boundaries |
Module2 | Classical sociological views of the economy |
Module3 | Social contexts of economic action |
Module4 | Sociologyof labour markets |
Module 5 | Sociologyof consumption |
Module 6 | Socio-cultural aspects of economic development |
B-10 | Environmental & Resource Economics |
Module1 | Introduction to Natural Resource and Environmental Economics |
Module2 | The Sustainability Problem |
Module3 | Welfare Economics and the Environment |
Module4 | Pollution Control: Targets and Instruments |
Module 5 | Benefit‐Cost Analysis |
Module 6 | Valuing the Environment |
Module7 | Case Studies |
Module8 | Renewable Resources |
Module 9 | Recyclable Resources – Minerals, Paper and E‐Waste |
Module 10 | Economy‐wide Modeling |
Module 11 | International Environmental Problems |
Module 12 | Trade and the Environment |
B-11 | Social Exclusion and Inclusive Policy |
Module1 | Understanding Social Exclusion |
Module2 | Theoretical Perspectives on discrimination |
Module3 | Social Exclusion of Caste,Tribe and Minority |
Module4 | Dimensions of exclusions and inclusive policy perspectives |
Module 5 | Physically challenged and Old Aged Social Exclusion |
Module 6 | Institutions and Inclusive Policies |
B-12 | Political Economy of India’s Development |
Module1 | Evolution of the debate over the role and ramifications of the British colonial rule for India’s economy |
Module2 | India’s population/demography since Independence |
Module3 | Planning in India up to 1991 |
Module4 | Poverty and inequality in India |
Module 5 | Reforms/Liberalisation in India |
B-13 | Urban Economics |
Module1 | Introduction |
Module2 | The Development of Cities: Clusters & Agglomeration; City Size and Urban Growth |
Module3 | Land Rent & Markets and Land use pattern |
Module4 | Urban Transportation |
Module 5 | Urban Infrastructure |
Module 6 | Housing |
Module 7 | Local Government |